AgentEval maf-doctor.instructions.md

A set of instructions for using MAF Doctor with Microsoft Agent Framework code. Microsoft Agent Framework is a toolkit for building AI agents in .NET.

In plain words
What is it for?
Use it to inspect a repository, investigate MAF build errors and obsolete APIs, and apply or plan fixes.
Why use it?
It establishes a current health check and directs diagnosis through the tool's known rules, which matters because framework APIs can change.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/agentevalhq/agenteval/maf-doctor
Clone the repo
git clone --depth 1 https://github.com/AgentEvalHQ/AgentEval

Made for: GitHub Copilot.

Per session 855 This file is loaded in full into every session.
When invoked 855 The same file — it is already loaded in full.
Security scan C 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00855 $0.00855
Opus 5 $0.00428 $0.00428
Sonnet 5 $0.00171 $0.00171
Haiku 4.5 $0.00085 $0.00085

Measured 2d ago against content hash 3d9cfee75e36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

AgentEval maf-doctor.instructions.md scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Managed by `maf-doctor init` — this file is fully overwritten on every re-run. For durable, hand-authored guidance, use .github/copilot-instructions.md instead (init never touches it). -->
.github/instructions/maf-doctor.instructions.md · 62 lines

What it actually says

Using maf-doctor for Microsoft Agent Framework code

This repository uses Microsoft Agent Framework. The maf-doctor MCP server (also called "MAF Doctor") is installed and exposes tools for diagnosing, fixing, and migrating MAF code.

Before answering MAF questions or proposing changes:

  1. Always call MafDoctor first on the repo path to get the current health grade (A-F) and the top issues. Don't speculate about MAF quality without this baseline.

  2. For any [Obsolete] warning, CS0618 / CS0246 diagnostic, or build failure mentioning a MAF type — call MafRunCs0618Hunt (full project scan) or MafApiSafety (single symbol) BEFORE suggesting a fix. The maf-doctor registry has curated fix recipes that supersede your training data — MAF ships breaking changes every minor version, so training data is likely outdated.

  3. To fix issuesMafAutoFixAll --dry-run then apply handles the mechanical rules deterministically (offer this first; the rewrites are tested). To fix everything, run the maf-remediate prompt (or just ask "fix all the issues maf-doctor found"): it grades → plans → autofixes → then works each semantic finding. Every finding carries a confidence (certain / high / heuristic); a heuristic finding may be a false positive — confirm it with MafExplainFinding before editing. Get the plan via MafDoctor(format: "plan") (human) or --plan --json (structured manifest); per-rule fix + false-positive guidance lives in the maf-remediation-playbook skill.

  4. When designing a new MAF agent or workflow — call MafNewAgent / MafNewExecutor for scaffolds, or MafSimulateWorkflow for topology preview. Don't reconstruct patterns from memory.

  5. For deep architectural / security / migration questions — run the maf-review (best-practice audit), maf-audit (pre-migration scan + plan), maf-migrate (execute a migration-plan.md), or maf-debug (diagnose a symptom) MCP prompts — init wires these up automatically, no extra setup needed. If .github/agents/ was also copied in from the maf-doctor source repo (GitHub Copilot only — see the toolkit's init-reference.md), the equivalent @maf-best-practice-reviewer, @maf-auditor, @maf-migration, or @maf-incident-responder personas work the same way.

  6. To migrate FROM Semantic Kernel TO MAF (a cross-framework port, NOT a MAF version bump) — call MafDetectSourceFramework (CLI: maf-doctor migrate-scan) to inventory SK usage and scope it, then run the maf-migrate-from prompt (or the @maf-cross-migration agent, if .github/agents/ was also copied in). It scaffolds a new MAF project beside the original and ports it construct-by-construct, non-destructively. The mapping lives at maf://migrate-from?source=semantic-kernel.

maf-doctor tools are MAF-version-aware via applies_to_codebases markers in the registry — they know which fix applies to which MAF version. Defer to the tools.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 62 lines · 855 tokens per session scan C 3d9cfee75e36

Subscribe to this mod's changes

AgentEval maf-doctor.instructions.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (138 stars, last pushed 2d ago), licensed MIT. It adds 855 tokens to every session, about $0.0043 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.